Modelling a combined method based on ANFIS and neural network improved by DE algorithm: A case study for short-term electricity demand forecasting

Applied Soft Computing Journal

Volumn 49, Issue , 2016, Pages 663-675

  Yang, Yi ^a   Chen, Yanhua ^a   Wang, Yachen ^a   Li, Caihong ^a   Li, Lian ^a  

^a LANZHOU UNIVERSITY   (China)

Author keywords

ANFIS; BP; Combined forecasting method; DE; diff SARIMA; Electricity demand forecasting

Indexed keywords

BACKPROPAGATION; ELECTRIC POWER UTILIZATION; ENERGY RESOURCES; EVOLUTIONARY ALGORITHMS; FUZZY INFERENCE; FUZZY NEURAL NETWORKS; OPTIMIZATION;

ADAPTIVE NETWORK BASED FUZZY INFERENCE SYSTEM; ANFIS; BACK PROPAGATION NEURAL NETWORKS; COMBINED FORECASTING; DIFF-SARIMA; ELECTRICITY DEMAND FORECASTING; OPTIMIZATION ALGORITHMS; SEASONAL AUTOREGRESSIVE INTEGRATED MOVING AVERAGES;

FORECASTING;

EID: 84988028148     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2016.07.053     Document Type: Review

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